Full Time Data Analyst Greenhouse information
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$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
How much do full time data analyst greenhouse jobs pay per year?
As of Aug 26, 2026, the average yearly pay for full time data analyst greenhouse in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
A Full Time Data Analyst at Greenhouse is responsible for collecting, processing, and analyzing large sets of data to help the company make informed business decisions. They work closely with different teams to identify trends, generate reports, and provide actionable insights. Their work supports strategic planning, product development, and process improvements by turning raw data into meaningful information.
To thrive as a Full Time Data Analyst at Greenhouse, you need strong analytical abilities, proficiency in statistics, and a solid foundation in data modeling, typically supported by a degree in a quantitative field. Familiarity with data visualization tools (such as Tableau or Looker), SQL, and experience with data analytics platforms are commonly required. Exceptional problem-solving, attention to detail, and effective communication skills help you interpret data insights and collaborate across teams. These capabilities are essential for driving data-informed decisions that support Greenhouse's business goals and operational efficiency.
As a Full Time Data Analyst in a greenhouse environment, you’ll typically work with a variety of agricultural and operational data. This can include analyzing crop yield statistics, monitoring environmental sensor data (like temperature, humidity, and light), and optimizing resource usage such as water and fertilizers. Projects often focus on improving plant growth efficiency, forecasting inventory, and supporting sustainability initiatives. You’ll collaborate closely with agronomists, operations teams, and sometimes IT staff to turn raw data into actionable insights that drive business and environmental improvements.
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